Optimize Perplexity Sonar API performance with caching, streaming, model routing, and batching. Use when experiencing slow API responses, implementing caching strategies, or…
Optimize Persona verification costs with template selection and caching. Use when working with Persona identity verification.
Optimize Persona API performance with batching and caching. Use when working with Persona identity verification.
Guide privacy-preserving PhotosUI media selection and PhotoKit authorization, limited-library access, assets, collections, fetches, change observation, image/video requests,…
Edit-test workflow for the voldemorbot robot codebase — Windows-to-Pi SSH deploy loop, pixi/ROS2 rebuild triggers, flaky-WiFi survival via screen, PowerShell SSH quoting pitfalls,…
Use when designing or reviewing Salesforce Platform Cache usage in Apex, including org cache versus session cache, cache-aside patterns, invalidation, and safe key design.
Write individual platform-native posts for X, LinkedIn, Instagram, and TikTok — with proper hooks, value-dense bodies, and CTAs optimized to each platform's format, audience, and…
Optimize PostHog performance: local flag evaluation, client batching config, event sampling, efficient HogQL queries, and serverless flush patterns.
Audits and optimizes ATS Platform performance across API, database, caching, and async workloads. Use to find and fix latency, throughput, and resource-efficiency problems.
Performance engineering principles — latency vs throughput, profile-before-optimize discipline, Big-O instincts for common patterns, allocation and GC pressure, data locality and…
Use when running an annual SaaS audit, doing category-level spend review, or rationalizing the supplier base — when the user needs to do a spend audit, spend categorization…
Compute corpus-local influence/centrality metrics — per-paper CD-index + PageRank, and per-PROF-P h-index / mean-CD / mean-PageRank / betweenness / eigenvector + influence grade.
Detect the user's GPU and ffmpeg hardware encoders (NVENC, VAAPI, QSV, AMF) and persist the result to system-profile.json.
Build offline-first web apps with Service Workers, Workbox, background sync, and progressive enhancement strategies.
Build Progressive Web Apps (PWAs) with offline support, installability, and caching strategies. Trigger whenever the user mentions PWA, service workers, web app manifests,…
Add new backlog items (features, changes, bugs, refactors, pages, components, scenes, scripts, a11y, performance) with optional thinking rounds.
Optimize prompt systems for cache efficiency, stable prefixes, fork-safe reuse, compact summarization, and instruction budgets.
Restructure an LLM call to maximize prompt-cache hit rate and add response/semantic caching — move the stable prefix (system prompt, instructions, few-shot, context) to the front…
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, resp — from…
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, resp — from…
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, resp — from…
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, resp — from…
Loaded when user builds with Anthropic API and needs to cut cost or latency via prompt caching. Covers TTL, cache breakpoints, stacking, invalidation, and measuring hit rate.
프롬프트 캐시 최적화 전략 — Dynamic Boundary 배치, 토큰 예산 관리, 정적/동적 영역 분리. Use when optimizing prompt structure, managing token budgets, or configuring CLAUDE.md layout for cache efficiency.
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites.
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for syst — from…
Provides workflows to write, debug, and optimize prompts for LLMs, including few-shot example selection, chain-of-thought structuring, system prompt design, and template…
Optimize prompts for LLMs and AI systems with structured techniques, evaluation patterns, and synthetic test data generation.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. — from Asymmetric-al/core
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. — from majiayu000/claude-skill-registry
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. — from majiayu000/claude-skill-registry
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
Prompt engineering and optimization for AI/LLMs. Capabilities: transform unclear prompts, reduce token usage, improve structure, add constraints, optimize for specific models,…
Versioniert alle Spalten- und Zeilenprompts mit semantischer Versions-ID — patch fuer Wortlautfeinheiten minor fuer geaenderte Antworttypen oder Ampelregeln major fuer geaenderte…
Use when switching between LLM providers, accessing provider-specific features (Anthropic caching, OpenAI logprobs), or using raw SDK clients - covers multi-provider patterns and…
Analizza e migliora il codice di PunxFilm OS: code review, refactoring, bug fix, performance, nuove feature.
Progressive Web App development guidelines covering service workers, caching strategies, offline functionality, and installability
Progressive Web App development with Service Workers, offline support, and app-like behavior. Use for caching strategies, install prompts, push notifications, background sync.
Profile the execution time of a Python script using py-spy and visualize the result with speedscope. Use when the user wants to benchmark performance, find slow code paths, or…
Use when fitting equations to data with PySR or SymbolicRegression.jl, when a user wants an interpretable formula, symbolic model, scaling law, or empirical relation discovered…
Software engineering integration content for QECTOR: wiring the MCP servers into applications, driving the stdio JSON-RPC 2.0 protocol, high-performance batch/mmap decoding,…
QuickNode performance tuning — blockchain RPC and Web3 infrastructure integration. Use when working with QuickNode for blockchain development.
Expert in building blazing-fast reactive dashboards with comprehensive testing. Masters React performance patterns, testing strategies for async components, and real-world…
RealtimeSTT is a Python library for real-time speech-to-text with advanced voice activity detection, wake word activation, and instant transcription.
Use when the user references a PAST DECISION, choice, or rationale — "what did we decide about caching?", "why is X done this way?", "didn't we agree to use Y?", "remind me how we…
Redis - in-memory database, caching, pub/sub, sessions, rate limiting, data structures
Apply the Green IT "Network Efficiency" principle — every transferred and every stored byte costs energy across server, network, and device.
Regular expressions including pattern design, lookaheads, lookbehinds, performance optimization, and engine differences.
Expert in writing, debugging, and explaining regular expressions. Covers readable regex patterns, performance optimization, debugging techniques, and knowing when NOT to use…
Remove AI-generated code smells (slop) from branch changes or an explicit file list. Locks behavior with regression tests FIRST, then runs categorized cleanup via parallel `deep`…
Optimize Replit app performance: cold start, memory, Nix caching, and deployment speed. Use when experiencing slow startup, high memory usage, deployment timeouts, or optimizing…
Review CakePHP ORM usage for N+1, over-eager contain, unbounded lists, and unjustified caching.
Generate images using Nano Banana Pro (Gemini). Supports Japanese text rendering, multiple styles, and platform-optimized outputs.
Postgres + Supabase RLS 效能診斷與優化手冊。Use when 寫/改 RLS policy、 跑 EXPLAIN ANALYZE、排查 PGRST003 pool timeout、設計 index、 優化 pagination、使用者抱怨 API 變慢、或需要診斷 connection pool 問題時。涵蓋…